STAT 101 Lecture Notes - Lecture 20: Linear Combination, Null Hypothesis, Confounding

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13 Apr 2015
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Stat 101 - introduction to business statistics - lecture 20: comparative analytics. Here we are dealing with the population sample paradigm again, but with two populations. You can infer association but not causation! Confounding is the issue - other factors may be driving the differences. You just happen to have data from two groups and you want to compare them. you have to make a number of assumptions to make conclusions, namely that these samples are representative of the populations they come from. ** as long as you have decent sample sizes you do not have to assume the third assumption due to clt. In a two sample test, you are testing . However, given a sample, you must use xbar1 and xbar 2 following to test the null and alternative. Xbar1 - xbar2 is a linear combination of two random vairables, with weights +1 and -1, meaning .

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